"""
Author: 菜鸟实战
实战场景:  如何绘制树状图展示Python数据分析师的知识结构
"""

# 导入系统包
import platform
import random

from flask import Flask, render_template
from pyecharts import options as opts
from pyecharts.charts import *

print("Hello，菜鸟实战")
print("实战场景:  如何绘制树状图展示Python数据分析师的知识结构 \n")

web = Flask(__name__)

# 构建数据
data = [{
    "name": "Python数据分析师",
    "children": [
        {
            "name": "Python编程基础",
            "children": [
                {"name": "Pandas", "value": 1111},
                {"name": "Numpy", "value": 2222}
            ]
        },
        {
            "name": "数据仓库",
            "children": [
                {"name": "MySQL", "value": 1111},
                {"name": "Mongodb", "value": 2222},
                {"name": "SQL Sever", "value": 3333},
            ]
        },
        {
            "name": "数理统计",
            "children": [
                {"name": "统计学概括性度量", "value": 1111},
                {"name": "离散程度度量", "value": 2222},
                {"name": "数据的种类知多少", "value": 3333},
                {"name": "数据整体状态", "value": 1111},
                {"name": "标准计分和离差", "value": 2222},
                {"name": "统计量和抽样分布", "value": 3333},
                {"name": "双变量的相关分析", "value": 3333},
                {"name": "独立性检验&拟合优度检验", "value": 3333},
            ]
        },
        {
            "name": "数据采集",
            "children": [
                {"name": "Python基础数据采集", "value": 1111},
                {"name": "Scrapy爬虫框架", "value": 2222},
                {"name": "Gerapy爬虫管理框架", "value": 3333},
            ]
        },
        {
            "name": "数据可视化",
            "children": [
                {"name": "Pyecharts", "value": 1111},
                {"name": "Matplotlib", "value": 2222},
                {"name": "Seaborn", "value": 3333},
            ]
        },

    ]
}]


def tree_charts() -> Tree():
    # 实例化对象
    tree = Tree()
    tree.add("", data,
             # 折叠枝点
             collapse_interval=2,
             # 自下向上树图
             # orient="BT",
             # 自右向左树图
             # orient="RL",
             # 自上向下树图
             # orient="TB",
             # 发散树图
             layout="radial",
             ),
    # 全局置标题
    tree.set_global_opts(
        title_opts=opts.TitleOpts(title="如何绘制树状图展示Python数据分析师的知识结构", subtitle="菜鸟实战，坚持学习！")
    )
    return tree


# 获取对象
p = tree_charts()
# 绘制图形，生成HTML文件的
p.render('./templates/timeline_tree_charts.html')


# 添加路由显示图表
@web.route('/')
def index():
    return render_template('timeline_tree_charts.html')


if __name__ == "__main__":
    # 运行项目
    web.run(debug=False)

print("Python 版本", platform.python_version())

2、运行结果

Hello，菜鸟实战
实战场景: 如何绘制树状图展示Python数据分析师的知识结构

* Serving Flask app 'py044' (lazy loading)
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: off
* Running on http://127.0.0.1:5000 (Press CTRL+C to quit)

菜鸟实战，持续学习!

【Python 实战基础】如何绘制树状图展示Python数据分析师的知识结构

一、实战场景

二、主要知识点

文件读写

基础语法

字符串处理

文件生成

数据构建

三、菜鸟实战

1、创建 python 文件

2、运行结果

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